// Prepare some tensors for shape.
  TF_Tensor* tensor_1X6 = Int32Tensor({1, 6});
  CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);
  TF_Tensor* tensor_1X1X6 = Int32Tensor({1, 1, 6});
  CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);

  TFE_Op* reshape_op = TFE_NewOp(tfe_context_, "Reshape", status_);
  CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);
  TFE_OpSetAttrType(reshape_op, "T", TF_FLOAT);

import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/** Static methods used to implement {@link Futures#getChecked(Future, Class)}. */
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault
final class FuturesGetChecked {

    # all of the default checks, we do the disable-all first.
    enabled-checks:
      - appendCombine
      - argOrder
      - assignOp
      - badCond
      - boolExprSimplify
      - builtinShadow
      - captLocal
      - caseOrder
      - codegenComment
      - commentedOutCode
      - commentedOutImport
      - defaultCaseOrder

		Example: `  # Check AuthorizationPolicy applied to pod httpbin-88ddbcfdd-nt5jb:
  istioctl x authz check httpbin-88ddbcfdd-nt5jb

  # Check AuthorizationPolicy applied to one pod under a deployment
  istioctl x authz check deployment/productpage-v1

  # Check AuthorizationPolicy from Envoy config dump file:
  istioctl x authz check -f httpbin_config_dump.json`,

import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.locks.AbstractOwnableSynchronizer;
import java.util.concurrent.locks.LockSupport;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

@GwtCompatible(emulated = true)
@ReflectionSupport(value = ReflectionSupport.Level.FULL)
@ElementTypesAreNonnullByDefault

    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**:

}

# Note: this is excluded on the full code base, since any submitted code must
# have passed Google's internal style guidelines.
@test "Check formatting for C++ files" {
    skip "clang-format doesn't match internal clang-format checker"
    echo "clang-format is recommended. Here are the suggested changes:"
    echo "============================="

      synchronized (queue) {
        boolean removed =
            (workerRunningState == IDLE || workerRunningState == QUEUING)
                && queue.removeLastOccurrence(submittedTask);
        // If the delegate is directExecutor(), the submitted runnable could have thrown a REE. But
        // that's handled by the log check that catches RuntimeExceptions in the queue worker.

      synchronized (queue) {
        boolean removed =
            (workerRunningState == IDLE || workerRunningState == QUEUING)
                && queue.removeLastOccurrence(submittedTask);
        // If the delegate is directExecutor(), the submitted runnable could have thrown a REE. But
        // that's handled by the log check that catches RuntimeExceptions in the queue worker.

    CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    TFE_Execute(op, &h, &num_retvals, status);
    CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    CHECK_EQ(1, num_retvals);
    CHECK(h);
    CHECK_EQ(TF_FLOAT, TFE_TensorHandleDataType(h));
    CHECK_EQ(0, TFE_TensorHandleNumDims(h, status));
    CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    h = nullptr;
    TFE_DeleteOp(op);
  }